Blog Archive
Time vs Technology
One of the interesting points by Alphabet CEO Sundar Pichai and my take on it. Exploring how the shift from pre-computer era to today has fundamentally changed our relationship with time and learning.
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AI-Driven Cybersecurity - the next big risk!
Exploring the emerging threats of AI-augmented social engineering and the urgent need for proactive cybersecurity measures. How AI is enabling sophisticated attacks that particularly threaten vulnerable populations with limited tech literacy.
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Software Developers after 2025?
Exploring how AI tools are transforming software development and why core engineering skills remain more crucial than ever. Introducing the concept of "Vibe Coding" - the seamless integration of human creativity with AI assistance.
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Stochastic Gradient Descent (SGD) in Real Life
Discover how Stochastic Gradient Descent (SGD) principles can help you tackle overwhelming goals through small, consistent steps. Learn how this AI algorithm philosophy can transform your approach to life challenges.
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Everyone Else is Qualified... Except You?
A candid reflection on imposter syndrome in AI/ML job hunting and the overwhelming nature of modern job requirements. Exploring the inner voice that whispers "You are still not enough" despite consistent learning and building projects.
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World War 2 Revisit
Visit to MM Park France which is one of the biggest museums of World War 2. A hidden gem near Strasbourg that offers an immersive dive into wartime logistics, technology, and economic transformation.
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Do LLMs Hallucinate? Reading Meta's RAG Paper So You Don't Have To
A TLDR of the foundational RAG paper by Patrick Lewis et al. Exploring how Retrieval-Augmented Generation solves the hallucination problem in large language models by combining retrieval with generation.
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Marketing and Sales skills for a AI Engineer?
Why job hunting in the AI era requires marketing yourself as much as mastering algorithms - lessons from an ML engineer's job search. In today's volatile job market, technical skills alone aren't enough.
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